Re: computer-go: Neural network minimax hybrid paper

["Stuart Cracraft" <cracraft@xxxxxxxxxxxxx>]

Excellent paper.

----- Original Message -----
From: "Julian Churchill" <jjc97c@xxxxxxxxxxxxxxxxx>
To: <computer-go@xxxxxxxxxxxxxxxxx>
Sent: Sunday, December 02, 2001 5:52 AM
Subject: computer-go: Neural network minimax hybrid paper


>
> Hi,
>
>  I just came back from presenting my paper at a conference and it seemed
to
> go down quite well, so I wondered if anyone here might be interested in
> having a look. The title is "A new computational approach to Go", which
> doesn't really give away much, so here is the abstract:
>
>  "This paper investigates the application of neural network techniques to
> the creation of a program that can play the game of Go with some degree of
> success. The combination of soft AI, such as neural networks, and hard AI
> methods, such as alpha-beta pruned minimax game tree searching, is
attempted
> to assess the usefulness of blending these two different types of
artificial
> intelligence and to investigate how the methods can be combined
> successfully."
>
>  You can get it here
> http://ducati.doc.ntu.ac.uk/uksim/dad/webpagepapers/Game-14.pdf
>
>  This isn't the full version, but is the conference version. If anyone is
> further interested, please email me and I will organise something so you
can
> get hold of the full paper, but I currently have no webspace.
>  The conference was Game-On 2001 and I was suprised by how interested
people
> there were about Go. There was a second Go paper at the conference, called
> "A Learning Architecture for the Game of Go" by a chap called Alex Meijer,
> all to do with the combinatorial game theory approach which all looked
very
> good.
>
>  Any comments about the work I have done so far would be much appreciated
as
> the work outlined above maybe extended to a PhD level investigation.
>
>  Cheers,
>  Jules
>
>
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